Engineering Manager, AI

Engineering Manager, AI & MLAt PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.About the RoleYou will lead a multidisciplinary team of engineers and data scientists responsible for building AI & ML solutions and services, that solve end user problems, such as summarization, semantic search, and prediction, using PitchBook's industry leading private, public, and credit markets data as your sources. Your team will focus on building scalable and reliable systems that serve as the foundation for PitchBook Platform features.As an Engineering Manager, AI & ML (Insights), you will play a vital role in executing the company's AI and machine learning initiatives with a strong focus on generating and delivering insights from PitchBooks wealth of structured data and unstructured text (reports, news, etc.) in the PitchBook Platform. This position will require deep technical expertise in advanced structured and unstructured data analytics, and a hands-on approach to managing and mentoring engineers. Your leadership will ensure that our AI & ML insights are developed and operationalized at the highest standards of performance, reliability, and security. You will be directly managing the individual contributors, ensuring that projects align with broader business goals and AI/ML strategies.This role requires deep engagement in the design, development, and maintenance of AI & ML models, solutions, architecture, and services. You will need to provide strong technical direction, problem-solve complex technical challenges, and ensure that the team consistently delivers high-quality, scalable solutions. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), generative AI (GenAI) and large language models (LLMs), ML Operations (MLOps), data architecture, and cloud-managed services.Your goal will be to drive unique value for our customers through the speed, quantity, quality, and discoverability of data in the PitchBook Platform using AI technologies, ML models, and data algorithms. Incorporated in this are both the ability to decipher insights from millions of discrete unstructured and structured data sources for incorporation in our platform and the acumen to apply ML models to our stored datasets to uncover and deliver opaque insights and predictions to our customers. Your leadership will ensure that our AI/ML systems align with global business strategies, maintaining seamless integration and high-performance standards. You will oversee the end-to-end lifecycle of AI/ML data systemsfrom research and development to deployment and operationalization.You will be responsible for managing and mentoring team members, resolving technical challenges, and fostering a culture of innovation and collaboration while ensuring they have the right tools, frameworks, and guidance to succeed. This role offers a unique opportunity to drive impactful change in a fast-paced, dynamic environment, where your efforts will directly contribute to the success of our global AI/ML initiative. Your ability to collaborate with cross-departmental stakeholders, provide leadership across locations, set high standards for the team, and hire, train, and retain exceptional talent is foundational to your success. You will solicit feedback, engage others with empathy, inspire creative thinking, and help foster a culture of belonging, teamwork, and purpose.Primary Job ResponsibilitiesAI & ML Insights Leadership: Drive the execution of AI & ML initiatives related to PitchBook Platform insights, ensuring that the team's efforts are aligned with overall business goals and strategiesTechnical Oversight: Provide hands-on technical leadership in the engineering of AI/ML models and services, focusing on NLP, summarization, semantic search, prediction, classification, and other use cases. Oversee and contribute to the implementation of scalable solutions that meet high standards of reliability and efficiencyTeam Leadership & Development: Lead, mentor, and develop a high-performing team of engineers and data scientists, fostering a culture of innovation and continuous improvement. Ensure effective communication and coordination within your team and across geographically dispersed teamsGenAI Technologies: Contribute to the development and application of NLP techniques, including classifiers, transformers, LLMs, and other methodologies, to efficiently leverage structured and unstructured data for insights generation. Ensure these models are integrated seamlessly into the broader AI/ML infrastructureCross-functional Collaboration: Work closely with other AI/ML teams, data collection engineering teams, product management, and others to ensure data collection efforts support broader AI/ML goals and product objectivesInnovation & Continuous Improvement: Continuously explore and implement new technologies and methodologies to enhance the efficiency and accuracy of AI/ML insights generation. Stay at the forefront of advancements in NLP, Search, and AI in relevant business domainsSystem Integrity & Security: Ensure that all data collection systems meet the highest standards of integrity, security, and compliance. Implement best practices for data governance and model transparencyTalent Acquisition & Retention: Play an active role in recruiting, training, and retaining top engineering talent. Foster an environment where team members are encouraged to innovate, feel valued, and achieve their full potentialProcess Improvement: Apply Agile, Lean, and Fast-Flow principles to improve team efficiency and the delivery of high-quality data collection solutionsSupport Company Vision and Values: Model and promote behaviors that align with the company's vision and values. Participate actively in company-wide initiatives and projects as requiredSkills and QualificationsBachelor's, Master's, or PhD in Computer Science, Mathematics, Data Science, or a related field6+ years of experience in software engineering, with a focus on AI & ML technologies, particularly in insights generation, summarization, semantic search, and prediction3+ years of experience in a leadership role as a technical lead or engineering managerStrong expertise in NLP and machine learning, with hands-on experience in classifiers, large language models (LLMs), and other NLP techniquesProven track record of shipping production-grade GenAI and Large Language Model (LLM) systems or services at scale, with measurable impact on product delivery or user experienceExtensive experience with data pipeline and messaging technologies such as Apache Kafka, Airflow, and cloud data platforms (e.g., Snowflake)Expert-level proficiency in Python, SQL, and other relevant programming languages and toolsStrong understanding of cloud-native technologies and containerization (e.g., Kubernetes, Docker) with experience in managing these systems globallyDemonstrated ability to solve complex technical challenges and deliver scalable solutionsExcellent communication skills with a collaborative approach to working with global teams and stakeholdersExperience working in fast-paced environments, particularly in industries that rely on data-intensive technologies (experience in fintech is highly desirable)Benefits + Compensation at PitchBookPhysical HealthComprehensive health benefitsAdditional medical wellness incentivesSTD, LTD, AD&D, and life insuranceEmotional HealthPaid sabbatical program after four yearsPaid family and paternity leaveAnnual educational stipendAbility to apply for tuition reimbursementCFA exam stipendRobust training programs on industry and soft skillsEmployee assistance programGenerous allotment of vacation days, sick days, and volunteer daysSocial HealthMatching gifts programEmployee resource groupsSubsidized emergency childcareDependent Care FSACompany-wide eventsEmployee referral bonus programQuarterly team building eventsFinancial Health401k matchShared ownership employee stock programMonthly transportation stipend*Please be aware the above PitchBook benefit